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associate to support an ethical, legal, and social implications (ELSI) study aim of the NSF funded study “Integrating Human-Derived Neural Networks and AI for Information Processing in Brain Organoids” under
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lives, one discovery at a time! Community Information Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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journals and presenting findings at conferences or academic settings. Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets
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analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing, Integrated Assessment Models (IAMs), and large-scale geospatial data to evaluate and